Author

Wenjie Peng

Sun Yat-sen UniversityPrimary ORCID profile (0000-0001-5093-7115 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Wenjie PengiD1 paper · Shanghai Jiao Tong University

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:human· 1 Research Focus:polygenic risk· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Lihang YeiD· 2 shared Liubin ZhangiD· 2 shared Miaoxin LiiD· 2 shared Chao XueiD· 1 shared Meng LiuiD· 1 shared Meng LiuiD· 1 shared Nan LiniD· 1 shared Wu Wei· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Lihang YeORCID

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2 papers

Recent·Most cited

SMECT: a framework for benchmarking post-GWAS methods for spatial mapping of cells associated with human complex traits

Meng Liu, Chao Xue, Y H Luo, Wenjie Peng, Lihang Ye, Liubin Zhang, Wu Wei, Miaoxin Li

SMECT benchmarks post-GWAS methods for spatial mapping of cells associated with human complex traits, revealing trade-offs between sensitivity and specificity across methods.

bioRxiv · Feb 16, 2026 · PreprintBioinformatics

Policy gradient-guided ensemble learning for enhanced polygenic risk prediction in ultra-high-dimensional genomics

Lihang Ye, Nan Lin, Ying Luo, Liubin Zhang, Meng Liu, Wenjie Peng, Xuegao Yu, Miaoxin Li

This paper introduces ELAG, an ensemble learning framework for polygenic risk prediction that improves accuracy in high-dimensional genomics data by using policy gradient methods to guide variant selection.

medRxiv · Sep 23, 2025 · PreprintGenetic & Genomic Medicine